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  • 21.04.17 - 22.04.17

    Data Science Intensive course
    by Olexander Romanko

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    Instructor
    Romanko

    Olexander Romanko

    Senior Research Analyst, Risk Analytics, IBM Canada

    The modern world is an avalanche of information, and in order not to be buried under this avalanche, you should be able to analyze and find relevant information.

    Fortunately, we have the opportunity to gain knowledge from the world class professional!

    Data Science Intensive course will take place on April 21-22.
    Instructor: Professor at the University of Toronto, senior researcher of IBM Canada, Ph.D., coordinator of educational programs in volunteer organizations Canada Ukraine International Assistance Fund – all this is only one man – Olexander Romanko!

    Olexander received his doctorate and master’s degree in computer science at McMaster University (Canada), master’s degree in economics at Charles University (Czech Republic) and Diploma of SSU.
    You can be certain that Olexander is really world-class specialist familiar with the latest Data Science techniques and tools!
    Olexander Romanko has extensive experience in teaching data analysis courses, and therefore prepared only interesting and useful information.

    This is an intensive course that covers basic aspects of Data Scientist`s day-to-day tasks.

    The course begins with explaining the principles of the Data Science, will then be examined using Python programming language for data analysis and carried out its comparison with other means.
    You will learn to do the training data to build model and optimize them and, most importantly – make decisions based on the results.
    Olexander is also planning to introduce you with opportunities and prospects Artificial Intelligence and Cognitive computing.

    The main reasons to attend the course:

    • the ability to learn new information quickly
    • huge impetus for development in Data Science
    • systematized knowledge
    • a wide range of field-related issues
    • proven course
    • world-class specialist experience

    Venue:
    Kyiv, Holosiivska street 17, business-center “KYUZ» (Main Hub)
    Courses programme


    Timetable
    21 April
    9:30-10:00

    Registration

    10:00-11:30

    Introduction to data science and analytics.
    Python programming, data science software

    11:30-11:45

    Coffee break

    11:45-13:00

    Basic statistics

    13:00-14:00

    Lunch

    14:00-16:30

    Overview of linear algebra.
    Modeling techniques, regression

    17:00-18:00

    Q&A

    22 April
    9:30-10:00

    Registration

    10:00-11:50

    Data visualization and visual analytics.
    Simulation modeling

    11:50-12:00

    Coffee break

    12:00-13:30

    Optimization. Data mining and machine learning

    13:30-14:30

    Lunch

    14:30-16:30

    Cognitive computing and artificial intelligence.
    Storytelling based on analytics, analytical
    decision making

    16:30-17:00

    Q&A

    Partners